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Privacy-preserving deep learning using secure multi-party computation – Complete Phd and Masters Thesis

Privacy-preserving deep learning using secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] **Chapter 1: Introduction** 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9…

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Federated learning for privacy-preserving mobile keyboard prediction – Complete Phd and Masters Thesis

Federated learning for privacy-preserving mobile keyboard prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Federated learning has emerged as a promising approach for privacy-preserving machine learning in recent years. This decentralized learning paradigm enables model training on distributed data across multiple devices while ensuring the privacy of…

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Generative AI for architectural design and 3D modeling – Complete Phd and Masters Thesis

Generative AI for architectural design and 3D modeling – Complete Phd and Masters Thesis

[ad_1] Introduction Generative Artificial Intelligence (AI) has revolutionized many industries, including architecture and 3D modeling. This technology allows designers to explore a wide range of design possibilities and generate creative solutions based on specified parameters.…

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Adversarial machine learning for robust malware detection – Complete Phd and Masters Thesis

Adversarial machine learning for robust malware detection – Complete Phd and Masters Thesis

[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…

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Computer vision for automated sign language interpretation – Complete Phd and Masters Thesis

Computer vision for automated sign language interpretation – Complete Phd and Masters Thesis

[ad_1] Introduction Automated sign language interpretation has the potential to revolutionize communication for individuals who are deaf or hard of hearing. Traditional methods of sign language interpretation rely on human interpreters, which can be costly…

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Federated learning for collaborative spam detection – Complete Phd and Masters Thesis

Federated learning for collaborative spam detection – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis…

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Quantum sensing for enhanced MRI imaging – Complete Phd and Masters Thesis

Quantum sensing for enhanced MRI imaging – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum sensing is a cutting-edge technology that has the potential to revolutionize the field of medical imaging. In particular, it holds promise for enhancing the capabilities of magnetic resonance imaging (MRI) – a…

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Neuromorphic computing for real-time robotics control – Complete Phd and Masters Thesis

Neuromorphic computing for real-time robotics control – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has been gaining significant attention in recent years as a promising approach to achieve real-time control in robotics. By mimicking the structure and functionalities of the human brain, neuromorphic computing systems…

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Edge AI for industrial safety monitoring – Complete Phd and Masters Thesis

Edge AI for industrial safety monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction: The advancement of Artificial Intelligence (AI) has revolutionized various industries, including industrial safety monitoring. Edge AI, which involves performing AI algorithms on devices at the edge of the network, has emerged as a…

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Adversarial attacks on autonomous vehicle perception systems – Complete Phd and Masters Thesis

Adversarial attacks on autonomous vehicle perception systems – Complete Phd and Masters Thesis

[ad_1] Introduction Autonomous vehicles have rapidly advanced in recent years, with major companies investing in the development of self-driving cars. However, as these vehicles rely heavily on perception systems to navigate their environment, they are…

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